Extracting Meaning From Millions of Pages

freakshowsam writes “Technology Review has an article on a software engine, developed by researchers at the University of Washington, that pulls together facts by combing through more than 500 million Web pages. TextRunner extracts information from billions of lines of text by analyzing basic relationships between words. ‘The significance of TextRunner is that it is scalable because it is unsupervised,’ says Peter Norvig, director of research at Google, which donated the database of Web pages that TextRunner analyzes. The prototype still has a fairly simple interface and is not meant for public search so much as to demonstrate the automated extraction of information from 500 million Web pages, says Oren Etzioni, a University of Washington computer scientist leading the project.” Try the query “Who has M|cr0s0ft acquired?”

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Friday, June 12th, 2009 Uncategorized